Diego Perino

55 papers receiving 1.3k citations

Hit Papers

A reality check for content centric networking2011202620162021201150100150200250

Peers

Diego Perino
Comparison fields: 5 of 69
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 221
  • Electrical and Electronic Engineering 176
  • Materials Chemistry 144
  • Information Systems 119
Replace Huachun Zhou with:
Huachun Zhou China
Xenofon Vasilakos United Kingdom
Pekka Nikander Finland
Nadir Shah Pakistan
Matthias Wählisch Germany
Sheng Wang China
George Xylomenos Greece
Zhongcheng Li China
Xiaobin Tan China
Stefano Salsano Italy
Diego Perino relative to Huachun Zhou China Huachun Zhou's profile →
Citations per field
00.5×1.5×2.4×
Huachun Zhou · 1×
Citations per year

Countries citing papers authored by Diego Perino

Since Specialization
Citations

This map shows the geographic impact of Diego Perino's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Diego Perino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Perino more than expected).

Fields of papers citing papers by Diego Perino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Perino. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Diego Perino. The network helps show where Diego Perino may publish in the future.

Co-authorship network of co-authors of Diego Perino

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Perino. A scholar is included among the top collaborators of Diego Perino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego Perino. Diego Perino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 43
3 85
4 3
5 7
6
A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web
3
7 8
8 0
9 3
10 4
11 1
12 20
13 10
14
Hierarchical Content Stores in High-speed ICN Routers: Emulation and Prototype Implementation
2
15 68
16
A reality check for content centric networkingbreakdown →
269
17 2
18 16
19
Achievable catalog size in peer-to-peer video-on-demand systems
21
20
Graphs, networks and algorithms
2

About Diego Perino

Diego Perino is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Caching and Content Delivery (25 papers), Software-Defined Networks and 5G (13 papers) and Peer-to-Peer Network Technologies (9 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Hardware and Architecture (47 citations) and Artificial Intelligence (221 citations). Diego Perino has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Matteo Varvello, Giovanna Carofiglio, Dario Rossi, Eduard Marin, Giuseppe Rossini, Nicolas Kourtellis, Kleomenis Katevas, Hamed Haddadi, Fan Mo and Fabio Pianese. Their work appears in journals such as Communications of the ACM, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026